A comprehensive fuzzy DEA model for emerging market assessment and selection decisions
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- 作者：Kaveh Khalili-Damghania ; kaveh.khalili@gmail.com" class="auth_mail" title="E-mail the corresponding author ; ; Madjid Tavanab ; c ; tavana@lasalle.edu" class="auth_mail" title="E-mail the corresponding author ; ; Francisco J. Santos-Arteagad ; fransant@ucm.es" class="auth_mail" title="E-mail the corresponding author
- 关键词：Fuzzy data envelopment analysis ; Emerging markets ; Preference assessment ; Undesirable input&ndash ; output ; Missing value ; Dimension reduction
- 刊名：Applied Soft Computing
- 出版年：2016
- 出版时间：January 2016
- 年：2016
- 卷：38
- 期：Complete
- 页码：676-702
- 全文大小：2191 K
文摘
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We present a comprehensive fuzzy data envelopment analysis (DEA) framework.
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Proposed framework considers coexisting desirable input and undesirable output data.
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The framework also considers high-dimensional data and missing values in DEA models.
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A dimension-reduction method improves the discrimination power of the DEA model.
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A preference ratio method ranks the interval efficiency scores in the fuzzy environment.